Every ad platform grades its own homework and can't see what the others claim. We build a cross-channel view from your own site and order data - multi-touch attribution reconciled against actual orders - so channel credit reflects what happened, not what each platform wants to claim.
The situation
Meta says it drove the sale. Google says it drove the sale. Your email platform says it drove the sale too. All three can't be fully right, and the honest total across platforms usually adds up to more orders than the store shipped.
The pain
Every marketing budget conversation becomes a fight between departments defending their own platform's numbers, instead of a conversation about what's actually working. Cutting the wrong channel because its dashboard looked weak is an easy, expensive mistake.
What we implement
We build a cross-channel view from your own site and order data - multi-touch attribution reconciled against actual orders - so channel credit reflects the full journey a customer took, not just the last click a single platform happened to see.
What you get
- Marketing budget allocated to what's proven to work, not what's easiest for one platform to measure.
- A channel picture your media buyer and your finance lead read the same way, from the same source.
- Fewer arguments where two platforms both claim the same order as their own win.
For your customers, the payoff is a media mix built on the channels the brand has actually confirmed they respond to - not a one-size-fits-all blast repeated across every platform that claims a piece of the credit.
Illustrative, not a measured result: a retailer splitting spend across five channels with no shared attribution might find one channel is quietly doing more assist work than its last-click numbers show, while another is largely riding on the traffic the others generate. This is a scenario meant to show the shape of the outcome, not a client figure.